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ADAdaptyv

Head of QC & Analytics(m/w/x)

Lausanne
Full-timeOn-siteSenior
AI/ML
Data Science

Defining quality standards for protein assays and building scalable data integrity systems. 6+ years in protein science with BLI/SPR hands-on experience required. Automated lab environment, Python/R programming.

Requirements

  • B.Sc., M.Sc., or Ph.D. in Biochemistry, Analytical Chemistry, Biophysics, Bioengineering, or related field
  • 6+ years in protein science, analytical development, or QC role
  • Deep hands-on experience with protein binding assays, BLI or SPR
  • Familiarity with developability and biophysical assays
  • Strong programming skills in Python and/or R
  • Proven experience managing large, multi-condition datasets
  • Track record of building or improving QC frameworks, SOPs, and data review processes
  • Experience at startup, CRO, or high-throughput foundry
  • Familiarity with instrument data formats and APIs (Sartorius Octet, Cytiva Biacore)
  • Background in statistical process control or equivalent quality methodologies
  • Exposure to AI/ML-driven protein design workflows
  • Experience with laboratory informatics platforms (LIMS, ELN)

Tasks

  • Define quality standards for data integrity
  • Build systems ensuring data quality at scale
  • Ensure full confidence in data points delivered
  • Own end-to-end quality control for protein assays
  • Define acceptance criteria and QC metrics
  • Systematically enforce quality standards in production
  • Establish SOPs and quality checkpoints
  • Lead investigations of out-of-specification results
  • Resolve assay failures and systematic deviations
  • Validate new methods before production
  • Work with software team on data processing pipelines
  • Define good data parameters for each assay
  • Identify gaps in data review workflows
  • Articulate requirements for workflow improvements
  • Own scientific logic behind QC rules
  • Review pipeline outputs critically
  • Provide actionable engineering requirements
  • Apply statistical reasoning to assay drift
  • Communicate findings to software team
  • Identify manual bottlenecks in data review
  • Replace manual processes with automation
  • Collaborate on embedding QC logic in software
  • Drive selection of laboratory informatics tools

Work Experience

  • 6 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • R
  • Sartorius Octet
  • Cytiva Biacore
  • LIMS
  • ELN
  • BLI
  • SPR
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